ExponentialDecay.java

  1. package org.drip.function.r1tor1;

  2. /*
  3.  * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
  4.  */

  5. /*!
  6.  * Copyright (C) 2020 Lakshmi Krishnamurthy
  7.  * Copyright (C) 2019 Lakshmi Krishnamurthy
  8.  * Copyright (C) 2018 Lakshmi Krishnamurthy
  9.  * Copyright (C) 2017 Lakshmi Krishnamurthy
  10.  * Copyright (C) 2016 Lakshmi Krishnamurthy
  11.  * Copyright (C) 2015 Lakshmi Krishnamurthy
  12.  * Copyright (C) 2014 Lakshmi Krishnamurthy
  13.  *
  14.  *  This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
  15.  *      asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
  16.  *      analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
  17.  *      equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
  18.  *      numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
  19.  *      and computational support.
  20.  *  
  21.  *      https://lakshmidrip.github.io/DROP/
  22.  *  
  23.  *  DROP is composed of three modules:
  24.  *  
  25.  *  - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
  26.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  27.  *  - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
  28.  *
  29.  *  DROP Product Core implements libraries for the following:
  30.  *  - Fixed Income Analytics
  31.  *  - Loan Analytics
  32.  *  - Transaction Cost Analytics
  33.  *
  34.  *  DROP Portfolio Core implements libraries for the following:
  35.  *  - Asset Allocation Analytics
  36.  *  - Asset Liability Management Analytics
  37.  *  - Capital Estimation Analytics
  38.  *  - Exposure Analytics
  39.  *  - Margin Analytics
  40.  *  - XVA Analytics
  41.  *
  42.  *  DROP Computational Core implements libraries for the following:
  43.  *  - Algorithm Support
  44.  *  - Computation Support
  45.  *  - Function Analysis
  46.  *  - Model Validation
  47.  *  - Numerical Analysis
  48.  *  - Numerical Optimizer
  49.  *  - Spline Builder
  50.  *  - Statistical Learning
  51.  *
  52.  *  Documentation for DROP is Spread Over:
  53.  *
  54.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  55.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  56.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  57.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  58.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  59.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  60.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  61.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  62.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  63.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  64.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  65.  *
  66.  *  Licensed under the Apache License, Version 2.0 (the "License");
  67.  *      you may not use this file except in compliance with the License.
  68.  *  
  69.  *  You may obtain a copy of the License at
  70.  *      http://www.apache.org/licenses/LICENSE-2.0
  71.  *  
  72.  *  Unless required by applicable law or agreed to in writing, software
  73.  *      distributed under the License is distributed on an "AS IS" BASIS,
  74.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  75.  *  
  76.  *  See the License for the specific language governing permissions and
  77.  *      limitations under the License.
  78.  */

  79. /**
  80.  * <i>ExponentialDecay</i> implements the scaled exponential decay Univariate Function.
  81.  *
  82.  *  <br><br>
  83.  *  <ul>
  84.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
  85.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/NumericalAnalysisLibrary.md">Numerical Analysis Library</a></li>
  86.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/function/README.md">R<sup>d</sup> To R<sup>d</sup> Function Analysis</a></li>
  87.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/function/r1tor1/README.md">Built-in R<sup>1</sup> To R<sup>1</sup> Functions</a></li>
  88.  *  </ul>
  89.  *
  90.  * @author Lakshmi Krishnamurthy
  91.  */

  92. public class ExponentialDecay extends org.drip.function.definition.R1ToR1 {
  93.     private double _dblEpoch = java.lang.Double.NaN;
  94.     private double _dblHazard = java.lang.Double.NaN;

  95.     /**
  96.      * ExponentialDecay constructor
  97.      *
  98.      * @param dblEpoch The Starting Epoch
  99.      * @param dblHazard The Exponential Decay Hazard Rate
  100.      *
  101.      * @throws java.lang.Exception Thrown if the Inputs are invalid
  102.      */

  103.     public ExponentialDecay (
  104.         final double dblEpoch,
  105.         final double dblHazard)
  106.         throws java.lang.Exception
  107.     {
  108.         super (null);

  109.         if (!org.drip.numerical.common.NumberUtil.IsValid (_dblEpoch = dblEpoch) ||
  110.             !org.drip.numerical.common.NumberUtil.IsValid (_dblHazard = dblHazard))
  111.             throw new java.lang.Exception ("ExponentialDecay ctr => Invalid Inputs");
  112.     }

  113.     @Override public double evaluate (
  114.         final double dblVariate)
  115.         throws java.lang.Exception
  116.     {
  117.         if (!org.drip.numerical.common.NumberUtil.IsValid (dblVariate))
  118.             throw new java.lang.Exception ("ExponentialDecay::evaluate => Invalid Inputs");

  119.         return java.lang.Math.exp (-1. * _dblHazard * (dblVariate - _dblEpoch));
  120.     }

  121.     @Override public double derivative (
  122.         final double dblVariate,
  123.         final int iOrder)
  124.         throws java.lang.Exception
  125.     {
  126.         if (!org.drip.numerical.common.NumberUtil.IsValid (dblVariate) || 0 >= iOrder)
  127.             throw new java.lang.Exception ("ExponentialDecay::derivative => Invalid Inputs");

  128.         double dblDerivativeFactor = 1;

  129.         for (int i = 0; i < iOrder; ++i)
  130.             dblDerivativeFactor *= (-1. * _dblHazard);

  131.         return dblDerivativeFactor * evaluate (dblVariate);
  132.     }

  133.     @Override public double integrate (
  134.         final double dblBegin,
  135.         final double dblEnd)
  136.         throws java.lang.Exception
  137.     {
  138.         if (!org.drip.numerical.common.NumberUtil.IsValid (dblBegin) || !org.drip.numerical.common.NumberUtil.IsValid
  139.             (dblEnd))
  140.             throw new java.lang.Exception ("ExponentialDecay::integrate => Invalid Inputs");

  141.         return (evaluate (dblEnd) - evaluate (dblBegin)) / (-1. * _dblHazard);
  142.     }

  143.     /**
  144.      * Retrieve the Epoch
  145.      *
  146.      * @return The Epoch
  147.      */

  148.     public double epoch()
  149.     {
  150.         return _dblEpoch;
  151.     }

  152.     /**
  153.      * Retrieve the Hazard
  154.      *
  155.      * @return The Hazard
  156.      */

  157.     public double hazard()
  158.     {
  159.         return _dblHazard;
  160.     }
  161. }